Lead AI Platform Applications Engineer/Senior Associate Director

HSBC Holdings plc; Pune District; Hybrid; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Hybrid Work Model

Inclusive environment

Job summary

HSBC Software Development India is seeking a Lead AI Platform Applications Engineer/Senior Associate Director in Pune. This is a deeply hands‑on leadership role with significant architecture influence across HSBC Productivity Suite, focusing on generative AI capabilities and enterprise integrations.

You’ll spend more than half of your time coding, testing and deploying production software, while mentoring engineers and shaping technical strategy and roadmaps for adoption in India and nearby

Qualifications

• Hands-on software engineering experience at scale, with production-grade systems.
• Strong Python, APIs, microservices, containers, CI/CD, databases and frontend (React).
• Experience taking AI/GenAI to production and operationalization.
• Proficiency with cloud platforms (GCP, AWS, Azure) and modern dev practices.
• Familiarity with AI tooling and code-generation assistants (GitHub Copilot, Claude Code).
• Experience designing and operating enterprise AI services and agentic workflows.
• Proven ability to mentor engineers and influence through technical leadership.
• Excellent communication and stakeholder management to turn complex problems into actionable plans.

Responsibilities

• Spend >50% time writing, reviewing and deploying production code for HSBC Productivity Suite.
• Design and build production‑grade GenAI capabilities and integrations across architecture and deployment.
• Provide technical leadership across engineering pods and influence technical direction.
• Shape roadmaps and translate business problems into measurable engineering plans.
• Improve reusable capabilities, tooling, and engineering standards including agentic AI usage.
• Mentor engineers through code/design reviews without formal management duties.
• Lead production support and incident response to ensure availability and performance.
• Collaborate with product, engineering and business leaders to align priorities with evidence.

Skills

Python

APIs & Microservices

Cloud platforms

React

AI tooling

Mentoring (hands‑on)

Tools

GitHub Copilot

Claude Code

React

Docker

Kubernetes

Databases

Job description

Lead AI Platform Applications Engineer/Senior Associate Director

Location:

Pune, MH, IN, 411006

Brand: HSBC

Area of Interest: Technology

Role Workstyle: Hybrid Worker

Date: 18 Sept 2026

Ready to scale enterprise Generative AI products from prototype to production?

HSBC Productivity Suite is our AI-powered workspace used by 250,000 colleagues across the bank. We’re now moving beyond conversational generative AI to build intelligent agents and integrations that connect colleagues with trusted enterprise knowledge, services and workflows.

You’ll join a global engineering team solving complex problems at significant scale, with the opportunity to shape how AI is designed, governed and used across HSBC. This is a hands‑on technical leadership role with real influence over architecture, engineering standards and product direction.

The Opportunity

We’re looking for a senior individual contributor who will provide hands‑on technical leadership across one or more engineering pods and mentor engineers in Pune. This is not a people-management role: success will come through engineering expertise, architecture leadership, delivery and influence across teams. The role will own significant integrations, help define the Productivity Suite technical strategy and roadmap, and support adoption in India and neighbouring markets. This is a deeply hands‑on role: you’ll be expected to spend more than 50% of your time designing, coding, testing and deploying software

What you’ll do:

• Spend more than half your time on hands‑on engineering, writing, reviewing and deploying production code for HSBC Productivity Suite.
• Design and build production‑grade generative AI capabilities and integrations, working across architecture, code, testing, deployment and ongoing operation.
• Provide technical leadership across engineering pods through direct contribution, setting technical direction and solving the most complex engineering problems.
• Shape technical strategy and roadmaps, translating ambiguous business problems into measurable outcomes and practical engineering plans.
• Improve reusable capabilities, frameworks, tooling and engineering standards, including the effective use of agentic AI across the software development lifecycle.
• Mentor engineers through pairing, design reviews and code reviews, without formal line‑management responsibility.
• Lead from the front on production support and incident response, ensuring services meet availability, performance, resilience and scalability expectations.
• Work with product, engineering, business and operations leaders, influencing priorities through evidence and technical expertise.

What you’ll need to succeed in the role:

• Deep, hands‑on software engineering experience, with a strong record of designing, coding and operating user‑facing products at scale.
• Advanced use of AI coding tools such as GitHub Copilot and Claude Code to prototype, write, test and review code safely, alongside experience building agents that improve the software development lifecycle.
• Strong Python expertise and practical knowledge of modern engineering practices, including APIs, microservices, databases, containers and continuous integration and delivery, and modern front‑end development using React.
• Hands‑on experience taking AI, machine learning and generative AI solutions from experimentation through to secure, reliable production use.
• Strong practical knowledge of large language models, prompt engineering, agentic workflows, evaluation, guardrails, observability and responsible AI.
• Experience leading through technical expertise and influence - setting direction, solving complex engineering problems and mentoring others while remaining a hands‑on individual contributor.
• Experience designing and operating cloud‑based services using platforms such as Google Cloud, Amazon Web Services or Microsoft Azure.
• Strong communication and stakeholder‑management skills, with the ability to turn ambiguous business problems into measurable outcomes and practical technical solutions.

Building HSBC’s AI engineering capability

This is a chance to shape how enterprise AI engineering is built and scaled across HSBC. You’ll create the platforms, patterns and delivery discipline that help teams move from experimentation to production with confidence. The work spans technology and business outcomes with clear accountability for quality, reliability and measurable value. If you’re ready to help set direction for GenAI at enterprise scale we’d welcome your application.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by – HSBC Software Development India